Datasets:

OxAISH-AL-LLM
/

wiki_toxic

Tasks:

Text Classification

Modalities:

Sub-tasks:

hate-speech-detection

Languages:

Size:

Tags:

Libraries:

License:

Dataset card Viewer Files Files and versions Community

SamAdamDay commited on Sep 19, 2022

Commit

9bac24d

•

1 Parent(s): 59bdbc7

Update wiki_toxic.py

Files changed (1) hide show

wiki_toxic.py +5 -5

wiki_toxic.py CHANGED Viewed

@@ -77,13 +77,13 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
         )
     def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(_URLS)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.csv"),
                     "split": "train",
                 },
             ),
@@ -91,7 +91,7 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "validation.csv"),
                     "split": "validation",
                 },
             ),
@@ -99,7 +99,7 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "test.csv"),
                     "split": "test"
                 },
             ),
@@ -107,7 +107,7 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
                 name="balanced_train",
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "balanced_train.csv"),
                     "split": "balanced_train"
                 },
             ),

         )
     def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download_and_extract(_URLS)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
+                    "filepath": downloaded_files["train"],
                     "split": "train",
                 },
             ),
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
+                    "filepath": downloaded_files["validation"],
                     "split": "validation",
                 },
             ),
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
+                    "filepath": downloaded_files["test"],
                     "split": "test"
                 },
             ),
                 name="balanced_train",
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
+                    "filepath": downloaded_files["balanced_train"],
                     "split": "balanced_train"
                 },
             ),